Multi-objective fuzzy-GA formulation for optimal placement and sizing of shunt FACTS controller

Author

Phadke, A.R. ; Fozdar, Manoj ; Niazi, K.R.

Author_Institution

Electr. Eng. Dept., Malaviya Nat. Inst. of Technol., Jaipur, India

fYear

2009

fDate

27-29 Dec. 2009

Firstpage

1

Lastpage

6

Abstract

The location and sizing of FACTS controllers for voltage stability enhancement is an important consideration for practical power systems. In this paper, a strategy for placement and sizing of shunt FACTS controller using Fuzzy logic and Real Coded Genetic Algorithm is proposed. A fuzzy performance index based on distance to saddle-node bifurcation, voltage profile and capacity of shunt FACTS controller is proposed. The proposed technique can be used to find the most effective location and optimal size of the shunt FACTS devices. The proposed approach has been applied on IEEE 14-bus test system. The application results are promising.

Keywords

bifurcation; flexible AC transmission systems; fuzzy control; genetic algorithms; power system stability; IEEE 14-bus test system; fuzzy logic controller; multiobjective fuzzy-GA formulation; power systems; real coded genetic algorithm; saddle-node bifurcation; shunt FACTS controller optimal placement; voltage stability enhancement; Bifurcation; Control systems; Fuzzy control; Fuzzy logic; Genetic algorithms; Optimal control; Performance analysis; Power system stability; System testing; Voltage control; Fuzzy logic omponent; optimal placement; real coded GA; shunt FACTS controller; voltage stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Systems, 2009. ICPS '09. International Conference on

Conference_Location

Kharagpur

Print_ISBN

978-1-4244-4330-7

Electronic_ISBN

978-1-4244-4331-4

Type

conf

DOI

10.1109/ICPWS.2009.5442652

Filename

5442652